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Applying design-dependent knowledge in structural engineering design

Published online by Cambridge University Press:  27 February 2009

H. Craig Howard ,
Jenmu Wang ,
Francois Daube  and
Taufiq Rafiq
H. Craig Howard
Affiliation:
Department of Civil Engineering, Stanford University, Stanford, CA 94305
Jenmu Wang
Affiliation:
Department of Civil Engineering, Stanford University, Stanford, CA 94305
Francois Daube
Affiliation:
Schlumberger Palo Alto Research Center, Palo Alto, CA 94304, U.S.A.
Taufiq Rafiq
Affiliation:
Department of Civil Engineering, Stanford University, Stanford, CA 94305
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Abstract

Recent knowledge-based expert systems for structural engineering design have focused on design-independent knowledge (abstract reasoning rules for designing), and while great strides have been made in that area, there is still a significant need to develop systems to take advantage of the wealth of knowledge contained in every substantial structural design. On the other hand, previous database-oriented design efforts have focused primarily on knowledge-poor databases of solutions, in which the traditional engineering handbook of solutions has simply been replaced by digital data. The challenge is to find a way to capture and apply the kind of case-based, design-dependent knowledge that structural engineers have traditionally used. The long-term results will be better structural designs and better structural designers. This paper discusses the character of the design-dependent knowledge in a structural engineering context, describes two initial applications of case-based reasoning to component design, and presents a general paradigm for a knowledge-based design system integrating rule-based and case-based reasoning.

Information

Type
Research Article
Information
AI EDAM , Volume 3 , Issue 2 , May 1989 , pp. 111 - 123
Copyright
Copyright © Cambridge University Press 1989

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